Forecasting the demand for electric vehicles in Singapore

The use of electric vehicles is rapidly increasing and is being encouraged in many countries in the world. Singapore is no exception, as numerous policies were introduced by the government in the recent Singapore Budget 2020 to encourage the use of electric vehicles in Singapore. The nation’s goal i...

Full description

Saved in:
Bibliographic Details
Main Author: Ong, Hui Ying
Other Authors: Wang Zhiwei
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2021
Subjects:
Online Access:https://hdl.handle.net/10356/150521
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-150521
record_format dspace
spelling sg-ntu-dr.10356-1505212021-05-28T06:48:00Z Forecasting the demand for electric vehicles in Singapore Ong, Hui Ying Wang Zhiwei School of Civil and Environmental Engineering WangZhiwei@ntu.edu.sg Engineering::Civil engineering The use of electric vehicles is rapidly increasing and is being encouraged in many countries in the world. Singapore is no exception, as numerous policies were introduced by the government in the recent Singapore Budget 2020 to encourage the use of electric vehicles in Singapore. The nation’s goal is to push out the use of internal combustion engine vehicles and have all vehicles to run on cleaner energy by 2040. However, the current electric vehicle population only stands at 0.24%. Thus, this project aims to analyse the extent of influence of factors – cost of owning an electric vehicle, availability of charging infrastructure, brand and variety of electric vehicles, charging time and driving range of electric vehicles, and environmental impacts of electric vehicles, on the demand for electric vehicles and thus carry out a forecast for the demand. The main mode of data collection is through a survey conducted online to gather responses of people’s attitudes towards electric vehicles and their knowledge of electric vehicle related government policies. The respective factors were further broken down into smaller areas to conduct a more detailed analysis. Respondents were asked to rank the various statements which represent the factors, on a scale of one to ten and provide their resulting decision with regards to purchasing or using an electric vehicle. The results collected will be modelled using the Logistic Regression Model to generate an equation relating demand for electric vehicles and the respective factors. Conclusion from the results was that the number of charging points available in both private and public housing estates has the highest positive influence, and the charging cost of electric vehicle has the lowest positive influence on the demand for electric vehicles. Recommendations and suggestions to increase the usage of electric vehicles in Singapore were provided based on the results obtained and were presented at the end of the report. Bachelor of Engineering (Civil) 2021-05-28T06:48:00Z 2021-05-28T06:48:00Z 2021 Final Year Project (FYP) Ong, H. Y. (2021). Forecasting the demand for electric vehicles in Singapore. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/150521 https://hdl.handle.net/10356/150521 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Civil engineering
spellingShingle Engineering::Civil engineering
Ong, Hui Ying
Forecasting the demand for electric vehicles in Singapore
description The use of electric vehicles is rapidly increasing and is being encouraged in many countries in the world. Singapore is no exception, as numerous policies were introduced by the government in the recent Singapore Budget 2020 to encourage the use of electric vehicles in Singapore. The nation’s goal is to push out the use of internal combustion engine vehicles and have all vehicles to run on cleaner energy by 2040. However, the current electric vehicle population only stands at 0.24%. Thus, this project aims to analyse the extent of influence of factors – cost of owning an electric vehicle, availability of charging infrastructure, brand and variety of electric vehicles, charging time and driving range of electric vehicles, and environmental impacts of electric vehicles, on the demand for electric vehicles and thus carry out a forecast for the demand. The main mode of data collection is through a survey conducted online to gather responses of people’s attitudes towards electric vehicles and their knowledge of electric vehicle related government policies. The respective factors were further broken down into smaller areas to conduct a more detailed analysis. Respondents were asked to rank the various statements which represent the factors, on a scale of one to ten and provide their resulting decision with regards to purchasing or using an electric vehicle. The results collected will be modelled using the Logistic Regression Model to generate an equation relating demand for electric vehicles and the respective factors. Conclusion from the results was that the number of charging points available in both private and public housing estates has the highest positive influence, and the charging cost of electric vehicle has the lowest positive influence on the demand for electric vehicles. Recommendations and suggestions to increase the usage of electric vehicles in Singapore were provided based on the results obtained and were presented at the end of the report.
author2 Wang Zhiwei
author_facet Wang Zhiwei
Ong, Hui Ying
format Final Year Project
author Ong, Hui Ying
author_sort Ong, Hui Ying
title Forecasting the demand for electric vehicles in Singapore
title_short Forecasting the demand for electric vehicles in Singapore
title_full Forecasting the demand for electric vehicles in Singapore
title_fullStr Forecasting the demand for electric vehicles in Singapore
title_full_unstemmed Forecasting the demand for electric vehicles in Singapore
title_sort forecasting the demand for electric vehicles in singapore
publisher Nanyang Technological University
publishDate 2021
url https://hdl.handle.net/10356/150521
_version_ 1701270630852198400